Ish Kumar Jain

Two beams are better than one: Towards Reliable and High Throughput mmWave Links [Sigcomm'21]

We build mmReliable, a reliable mmWave system that implements multi-beamforming and user tracking to handle environmental vulnerabilities. It creates constructive multi-beam patterns and optimizes their angle, phase, and amplitude to maximize the signal strength at the receiver. Multi-beam links are reliable since they are resilient to occasional blockages of few constituent beams compared to a single-beam system. Rigorous indoor and outdoor experiments on our mMobile platform demonstrate that mmReliable achieves close to 100% reliability.

mMobile: Building a mmWave Testbed to Evaluate and Address Mobility Effects [mmNets'20]

We built a custom 5G NR compliant mmWave testbed at 28 GHz to evaluate beam management algorithms. We describe the architecture and challenges in building such a testbed. We then create a novel, low-complexity beam tracking algorithm by exploiting the 5G NR waveform structure and evaluate its performance on the testbed. The algorithm can sustain almost twice the average throughput compared to the baseline.

Collaborators: Raghav Subbaraman, Tejas Harekrishna Sadarahalli, Xiangwei Shao, Hou-Wei Lin, Dinesh Bharadia

LocAP: Autonomous Millimeter Accurate Mapping of WiFi Infrastructure [NSDI'20]

LocAP is an autonomous system to physically map the environment and accurately locate the attributes of existing wireless infrastructure in the physical space down to the required stringent accuracy of 3 mm antenna separation and 3 degree deployment orientation median errors, whereas state-of-the-art algorithm reports 150 mm and 25 degree respectively.

Collaborators: Roshan Ayyalasomayajula, Aditya Arun, Chenfeng Wu, Shrivatsan Rajagopalan, Shreya Ganesaraman, Aravind Seetharaman, Dinesh Bharadia

mmWave Blockage Analysis

We analyze the impact of blockage by static buildings, mobile blockers as well as self-blockage by the user's body. Our results indicate that the minimum density of BS required to satisfy the Quality of Service (QoS) requirements of Ultra Reliable Low Latency Communication (URLLC) applications is mainly driven by reliability and latency constraints, rather than coverage or capacity requirements.

Collaborators: Rajeev Kumar Prof. Shivendra Panwar

Papers: ITC 2018 and JSAC 2019

Active Queue Management

We implemented 7 queue management schemes including ARED, CoDel, PIE, and SFQ on GENI testbed and analyzed their performances in residential settings.